I’m a data-driven investor and operator with deep experience across risk intelligence, quantitative analysis, and early-stage investing. My work sits at the intersection of data science, financial strategy, and technology, helping organisations make smarter, more resilient decisions. As Head of Risk Intelligence & Data Science at SixPoint Capital Management, I lead efforts to build analytical frameworks, predictive models, and insights that inform firm-wide investment and portfolio strategy. I’m motivated by the challenge of turning complex data into clarity—and clarity into meaningful action. Alongside my role at SixPoint, I advise high-growth companies through Strategic Factor and actively invest as an angel, supporting founders who are building innovative products across fintech, real estate, and applied data science. Previously, as Chief Investment Officer at Lofty, I led investment strategy and helped scale an emerging real-estate investment platform. I continue to blend my backgrounds in economics, statistics, and quantitative programming to help teams solve hard problems, evaluate risk, and uncover opportunities others miss. Expertise ✅ Risk intelligence, quantitative analysis, and predictive modelling ✅ Investment strategy across fintech, real estate, and early-stage startups ✅ Data science leadership: Python, R, statistical modelling, and applied analytics ✅ Portfolio strategy, due diligence, and risk–return optimisation ✅ Angel investing, founder advisory, and scaling analytical organisations ✅ Financial strategy, forecasting, and data-driven decision frameworks